Abstract
Acute and post-acute neurological symptoms, signs and diagnoses have been documented in an increasing number of patients infected by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which causes Coronavirus Disease 2019 (COVID-19). In this review, we aimed to summarize the current literature addressing neurological events following SARS-CoV-2 infection, discuss limitations in the existing literature and suggest future directions that would strengthen our understanding of the neurological sequelae of COVID-19. The presence of neurological manifestations (symptoms, signs or diagnoses) both at the onset or during SARS-CoV-2 infection is associated with a more severe disease, as demonstrated by a longer hospital stay, higher in-hospital death rate or the continued presence of sequelae at discharge. Although biological mechanisms have been postulated for these findings, evidence-based data are still lacking to clearly define the incidence, range of characteristics and outcomes of these manifestations, particularly in non-hospitalized patients. In addition, data from low- and middle-income countries are scarce, leading to uncertainties in the measure of neurological findings of COVID-19, with reference to geography, ethnicity, socio-cultural settings, and health care arrangements. As a consequence, at present a specific phenotype that would specify a post-COVID (or long-COVID) neurological syndrome has not yet been identified.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00415-021-10848-4.
Keywords: COVID-19, SARS-CoV-2, Neurological diseases, Post-COVID
Background
The current pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the coronavirus responsible for the Coronavirus Disease 2019 (COVID-19) infection, has led to the identification of a complex phenotype that includes, among others, several neurological disorders (symptoms, signs or diagnoses) characterizing the acute phase of the disease [1–9]. These disorders are believed to be either a result of direct viral infection of the nervous tissue or an indirect consequence of the activation of immune-mediated and vascular mechanisms [10–13]. However, very little is known about the short-term and long-term consequences of COVID-19.
An increasing number of case reports illustrate the occurrence of differing neurological disorders [3–7, 9]. Several of these reports refer to well-defined immune-mediated disorders, including Guillain–Barre syndrome (GBS), post-infectious immune encephalitis, Central Nervous System (CNS) vasculitis, and myelitis. These neurological conditions and similar disorders have been reported after previous viral outbreaks, including infections caused by other coronaviruses [14–30] and might reflect common complications of viral action and even of vaccines [31, 32].
The overall picture is further complicated by three factors that must be considered when testing the purported association between COVID-19 and specific neurological manifestations:
Identification of neurological symptoms, signs or diagnoses occurring after the acute phase of COVID-19, which might result from indirect effects of the infection and should be differentiated from chance association with comorbidities;
Neurological sequelae from the acute phase (including post-intensive care syndrome) which must be distinguished from newly ascertained occurrences during follow-up; and
Post-acute neurological manifestations in COVID-19 patients that might be associated with known and/or unknown genetic, demographic and/or environmental factors.
Any new neurological manifestation, documented after the development of symptoms due to SARS-CoV-2 should, therefore, undergo critical appraisal and be investigated with the appropriate methods.
Key questions
To investigate the above factors, the following research questions should be posed:
Are there specific new-onset neurological symptoms, signs or diagnoses occurring after the acute phase of COVID-19 symptoms that can be interpreted as sequelae of COVID-19?;
Are there any neurological symptoms, signs or diagnoses that arise during and persist after the acute phase of COVID-19?; and
What are the factors associated with the persistence and/or any new-onset post-acute neurological manifestations?
Methods
For the purposes of this Rapid Review, we searched PubMed for appropriate articles to address the three key questions above, which were drawn from articles that were published up to January 28, 2021. As our aim was not to perform a systematic review of the literature and we wanted to exclude the effects of vaccines, we deliberately did not include articles published after that date.
Using MeSH terms for COVID-19 and neurological disorders, and filtering for study types in humans, two separate searches were performed (see Online Appendix for details).
First search
The first search focused on studies related to the incidence, outcome (with risk factors), and sequelae of neurological manifestations in patients with COVID-19. Eligible articles were those focusing on neurological sequelae of COVID-19 or incident neurological manifestations at the end of the acute phase or during follow-up. Three types of cohort studies were considered: the first comparing patients confirmed positive with real-time polymerase chain reaction assays (RT-PCR) (COVID +) with contemporaneous RT-PCR negative patients (COVID-); the second comparing COVID + patients with neurological manifestations with those without; and the third (with nested case–control studies) comparing those who survived with those who did not.
Second search
The second search focused on neurological symptoms, signs or diagnoses identified in case reports of patients with COVID-19. Psychiatric/Neuropsychiatric conditions were not the focus of this report.
The original research articles found in these focused searches were examined to determine:
Incident neurological symptoms, signs or diagnoses occurring after the onset or the end of the acute phase of COVID-19;
Prevalent neurological symptoms, signs or diagnoses persisting after the acute phase; and
Identification of patients who are at higher-than-expected risk of developing neurological sequelae or neurological symptoms, signs or diagnoses occurring during follow-up.
Results
First search
The results of this search led to the identification of 444 studies, of which 28 were found eligible for detailed review (e-Table 1). Eligible studies were those whose abstracts included matched or unmatched comparison groups and those with follow-up after discharge. 21 cohort studies (18 retrospective and 3 prospective), 6 case–control studies and 1 case series with follow-up were included. Each study is illustrated in the table in terms of population, setting, main demographics, exposed vs. unexposed individuals (cases vs. controls), outcome measures, results and quality assessment. With few exceptions [33–35], all patients who were COVID + had tested positive with RT-PCR.
In the two studies that included up to a six-month follow-up after hospital discharge, neurological sequelae were frequently present. In a retrospective cohort of 1733 COVID + patients discharged from the hospital, 19.6% of cases (340) reported neurological manifestations after a median follow-up of 186 days [36]. The commonest reported complaints were fatigue or muscle weakness (63%, 1038/1655) and sleep difficulties (26%, 437/1655). Anxiety and depression were reported by 23% (367/1617) of patients and difficulty walking by 24% (103 of 423). Common complaints at discharge included amnestic dysfunction (30%, 18/61), dysexecutive syndrome (33%, 20/61), ataxia (11%, 7/61) and tetraparesis (18%, 11/61) [37].
Overall, even with different incidence rates, the presence of neurological manifestations during or after the acute phase of COVID-19 was associated with a more severe disease and a worse outcome, with higher proportions of in-hospital deaths, longer length of stay, and persistent neurological sequelae (functional disability, transfer to rehabilitation/nursing facilities) at discharge (see e-Table 1) [35, 38–40].
In a large prospective hospital cohort (N = 4491), 88% (948/1072) of patients seen by neurologists had a new neurological manifestation and 64% (606/948) of these tested positive for COVID-19 [40]. The prevalence of neurological disorders among all hospitalized patients was 13.5% (606/4,491). The most common disorders among COVID + patients who were seen by neurologists were toxic/metabolic encephalopathy (51%, 309/606), stroke (14%, 84/606), seizures (12%, 74/606), and hypoxic/ischemic brain injury (11%, 65/606). Forty-six percent (34/74) of seizures were incident events. The median time from onset of the first COVID-19 symptom to the onset of neurological symptoms was 2 days (interquartile range, IQR 0–13). Fifty-four percent of cases (N = 326) had neurological symptoms after a median of 12 days (IQR 5–22). These patients were older, more severely ill, and less likely to be discharged home [40].
In a retrospective cohort of 509 hospitalized COVID + patients, 19.6% of cases developed neurological manifestations after hospital admission [38]. In another large retrospective cohort of COVID + patients (N = 574), two-thirds developed neurological manifestations during the course of the disease [39]. Of these, 9.8% presented new neurological symptoms/signs or diagnoses while in hospital. The authors classified neurological manifestations into major (encephalopathy, 8.4%, 48/574; critical illness neuropathy/myopathy, 0.9%, 5/574; ischemic stroke, 0.5%, 3/574) or minor (myalgia, 5.4%, 31/574; headache, 5.2%, 30/574; dizziness, 4.5%, 26/574; dysgeusia, 3.8%, 22/574; anosmia, 2.4%, 14/574). In-hospital mortality was 28.7% in patients with a history of neurological disorders and 15.3% in patients who presented with both neurological manifestations and COVID-19, whereas in those with incident symptoms during their hospital stay it was 22.5%. Patients with major neurological manifestations at any time experienced a higher mortality (37.4%) compared to those who had no major neurological manifestations during COVID infection (11.9%).
The presence of any neurological symptom, sign or disease was a significant predictor of death (Hazard Ratio 2.1) in a population-based sample of COVID + patients [41]. Additional findings from other studies revealed that the occurrence of any neurological complications was also associated with the need for acute rehabilitation and transfer to nursing homes [40]. The occurrence of major neurological signs/diseases (encephalopathy, seizures, ischemic stroke, critical illness neuropathy, cerebral venous thrombosis, and even posterior reversible encephalopathy syndrome) carried a high mortality risk [39]. Concurrent neurological diseases (mostly pre-existing dementia) carried a 32.6 timed higher risk of death in a large population-based cohort (N = 7057) [42].
Stroke was the most commonly reported neurological disease among hospitalized patients. Stroke risk ranged from 0.5% (33) to 1.6% [43]. The interval between onset of COVID-19 symptoms and stroke varied from 1 to 27 days (predominantly 6–10 days) [43–49]. Stroke occurred during a hospital stay in 56.2% (18 of 32) of cases in one study [44] and in 74.2% in another study (23/31 with acute ischemic stroke) [43]. Ischemic stroke predominated, followed by haemorrhagic stroke. Of ischemic stroke cases, those of undetermined etiology (cryptogenic stroke) or due to involvement of large vessels were commonly reported [43–45, 47–49]. Patients with symptomatic COVID-19 + and stroke were compared with asymptomatic COVID-19 + patients with stroke or with contemporary or antecedent COVID-19 negative stroke patients. COVID-19 was associated with a higher incidence of ischemic stroke than influenza infection (OR 7.6; 95% CI 2.3–25.2) [43]. Compared to COVID-negative individuals, COVID-positive patients had higher rates of hospital admissions for cerebrovascular diseases [34]. Compared to historical or concurrent controls, patients with stroke associated with COVID-19 presented a higher risk (up to 40-fold) of in-hospital mortality and functional disability at discharge [42, 45–48]. Risk factors for stroke in COVID + patients included disease severity and ischemic heart disease [32]. Along with cerebral infarction, intracerebral and subarachnoid haemorrhage were more frequently documented among hospitalized COVID-19 + than in COVID-19 negative subjects [50]. Disease severity was higher in older than in younger cohorts, with 32.1% (85/265) in-hospital mortality and 36.4% (96/265) institutionalization rate in the oldest elderly subjects who had a stroke during the course of their COVID-19 infection [49].
Delirium was another neurological manifestation associated with higher disease severity, as shown by the higher proportion of cases with a prolonged hospital stay, admission to the intensive care unit (ICU) or in-hospital mortality [34, 51]. In one study [34] delirium was present in 73.3% (22 of 30) of COVID + patients with pre-existing dementia. Elderly patients experiencing delirium were at higher risk of functional disability requiring rehabilitation [52].
Disorders of consciousness, when present, were also a significant predictor of death [2]. In one study, 10% of patients who did not improve while in the hospital experienced the loss of consciousness (LoC) [53]. In this cohort, in-hospital death was more than tenfold higher than in patients without LoC.
In contrast, the presence of syncope did not result in increased mortality [54] while anosmia (isolated or in combination with ageusia) was accompanied by a favourable outcome [55].
When SARS-CoV-2 was compared to other influenza viruses, despite an overall higher severity, data on any neurological manifestations were not significantly different [56], but ischemic stroke was significantly more frequent in COVID + patients (Relative Risk 3.1) compared to those with influenza [57].
Compared to hospital-based studies, population-based studies provide different results. GBS is an acute post-infectious immune-mediated polyradiculoneuropathy typically occurring a few days to few weeks after bacterial or viral infections, including coronaviruses. In a population-based cohort of GBS patients from the UK National Immunoglobulin Database, 47 cases of GBS were reported with definite (13), probable (12), or no (22) COVID-19 infection [58]. However, there were no between-group differences in all measures (incidence, severity, and outcome) and GBS fell in the UK during the pandemic. This finding is an argument in favour of the use of population-based studies to confirm the external validity of the results of cohort or case–control studies performed in hospital studies.
Second search
The second search focused on case reports of neurological manifestations associated with COVID-19. The results of this search led to the identification of 950 studies, 431 of which fulfilled our criteria for eligibility and presented data on neurological diagnoses, symptoms, or clinical or instrumental signs (e-Table 2). Acute ischemic stroke was the most commonly reported disease (71 cases, 16.5%), followed by GBS (67, 15.5%), cranial neuropathies (33, 7.7%), encephalitis/meningitis (30, 7.0%), cerebral venous thrombosis (17, 3.9%), intracerebral haemorrhage (16, 3.7%), myelitis/myelopathy (14, 3.2%), parainfectious (autoimmune) encephalopathies (13, 3.0%), other peripheral neuropathies (2.8%), posterior reversible encephalopathy syndrome (11, 2.5%), acute necrotizing encephalopathy, and seizures/epilepsy (10 each, 2.3%). Cerebrovascular disorders predominated, followed by (immune-mediated) peripheral neuropathies. Neurological manifestations occurred during both the acute and post-acute phase and presented differing COVID-19 severities and outcomes. Other manifestations (see e-Table 2) were occasionally reported and, in a few instances, even symptoms, signs or subclinical findings with no link to a specific diagnosis were documented (for a total of 36 case reports).
The results of case reports are implicitly limited because the role of chance cannot be excluded, particularly for manifestations that are apparently unrelated to the infectious disease. However, case reports can be indicators of a possible association that could require further investigation if considered biologically plausible.
In summary, based on the above findings, a number of adverse effects of SARS-CoV-2 on the central and peripheral nervous system have been documented. The robustness of the association between COVID-19 infection and neurological manifestations is supported by the strength and the consistency of findings and by a biological (dose–response) gradient (ie, a more severe disease should generally lead to a greater incidence of neurological findings). The underlying mechanisms of the viral action on the vascular and nervous system, that might reflect persistent brainstem dysfunction, make the association biologically plausible [10–13]. In addition, in most instances the findings were confirmed even after adjusting for major confounders like older age and chronic comorbidities that have been repeatedly found to adversely affect the outcome of COVID-19. However, published reports have important limitations that can have significant effects on the external validity of the results and, more specifically, the number and type of immediate, short-term and long-term neurological complications. These limitations are inherent in the study design, the population at risk, the accuracy and reliability of the diagnoses, the duration of follow-up, and the definition of the outcome measures.
Limitations of published reports (Box 1)
There is still variability in measuring the risk of neurological manifestations, which is mostly explained by the differing study populations and the use of different, often suboptimal study designs [59]. Limited knowledge about the mechanisms of COVID-19 infection and the complexity of the interactions between various viral and non-viral factors are the most likely explanations for our present lack of understanding regarding the impact of COVID-19 on the nervous system. Information about the phenotype of COVID-19 has been mostly obtained from referral series, and predominantly from hospitalised patients. For this reason, the spectrum of the disease tends to reflect the most severely affected cases. These findings, in the absence of well-defined study populations, might mask the true incidence and spectrum of neurological complications. Data from low- and middle-income countries are also scarce, leading to underreporting of neurological findings of COVID-19 overall, particularly in the post-acute phase, with reference to geography, ethnicity, age and sex, and socio-cultural environment. Other limitations that should be further emphasized include variability in clinical case definition (use of differing diagnostic criteria), low level of control for confounders (risk factors and comorbidities), and variable and generally short follow-up periods.
Additionally, some studies included asymptomatic patients in their control groups who were not screened with molecular or serological tests to exclude SARS-CoV-2 exposure. This bias might have resulted in the dilution of any reported differences. Screening methods and diagnostic ascertainment also varied across studies depending on the clinical background of local investigators (nurses vs. doctors; neurologists vs. non-neurologists), number and type of contacts during follow-up and, importantly, attrition (number of contacts with patients during follow-up) and patients’ consent and compliance. Missing information is not at random and, as such, can bias the external validity of the study results, especially when post-acute disorders are investigated. In addition, most of the reviewed studies were done under surge conditions, leading to incomplete diagnostic assessments. The present data are mostly based on patients’ self-reports, clinically relevant manifestations, and with more attention paid to symptoms, signs and diseases illustrated in previous reports, leading to a reporting bias. In other regards, however, information is extremely limited regarding signs that can only be documented through testing, imaging or biochemical or pathological investigations.
Another limitation intrinsic to the nature of an infectious disease that affects the nervous system is the inclusion of the entire spectrum of symptoms, signs and even diseases that may be part of the underlying infectious disease process, like headache, myalgias, asthenia and even meningoencephalitis. In addition, even if different underlying mechanisms are present, acute and post-acute symptoms can hardly be separated, making it difficult to define a neurological syndrome characterized by manifestations persisting at the end of the acute phase and/or occurring during follow-up as a separate nosological entity.
With the current background of research, the knowledge of the outcome and long-term impact of SARS-CoV-2 on the nervous system is at present limited, as insufficient time has elapsed for any long-latency effects to appear in the majority of cases.
At the time of writing, two systematic reviews on post-COVID syndrome were published.
The first [60] identified studies published from January 1, 2020, to March 11, 2021, that examined persistent symptoms after COVID-19 infection, defined as those persisting for at least 60 days after diagnosis, symptom onset, or hospitalization or at least 30 days after recovery from the acute illness or hospital discharge. 45 studies reporting 84 clinical signs or symptoms were included in the systematic review. There were 9751 total participants. The median proportion of individuals experiencing at least 1 persistent symptom was 72.5%. Individual symptoms occurring most frequently included, among others, sleep disorders or insomnia, followed by headache, memory loss and cognitive deficits. However, the authors noted wide variations in the design and quality of the studies, which had implications for interpretation and often limited direct comparability and combinability. The second systematic review [61] collected studies on long-term COVID-19 symptoms published until February 15, 2021. 145 reports met authors’ selection criteria. 24.1% of reports were on neurologic complaints and olfactory dysfunctions. The commonest manifestations include headache and, to a lesser extent, anosmia/ageusia, sleep disorders, distal paresthesiae and cognitive impairment. A relatively high heterogeneity of the reviewed.studies was confirmed also in this review.
Changes in exposure to the virus, virulence and virus mutation (with special reference to the delta variant), mediated by changing disease control measures and alterations in the organization of healthcare systems, as well as the evolution of therapeutic strategies for COVID-19, can also have an impact on the disease outcome and its complications, even within the same country. In addition, data on the follow-up of patients with COVID-19 are at present insufficient to demonstrate that any incident neurological manifestation that occurs at the end of the acute phase of COVID-19 is higher than expected in the broader population.
Box 1: Limitations of published reports
Data collected from selected case reports or clinical series.
Very limited data from low-income countries.
Predominant assessment of more severe disease varieties.
Under-reporting of data from non-hospitalized patients.
Focus on selected disease aspects (e.g., neurological, pneumological) and not to the full spectrum of the COVID-19.
Unclear separation of direct complications of infection (headache, acute CNS infection) from diseases attributable to other pathogenic mechanisms.
Use of differing disease definitions.
Variable degree of diagnostic assessment.
Unknown interaction between SARS-CoV.2 and pre-existent comorbidities.
Limited follow-up observation.
Non-standardized investigation of sequelae/complications.
Patient-reported vs. investigation-driven outcome measures.
Inadequate assessment of the risk attributable to COVID-19 (lack of adequate controls).
Uncontrolled effects of treatments.
Knowledge gap
In light of the present reports, there is a substantial gap in the knowledge of the association between COVID-19 and the large majority of neurological manifestations, if stroke and immune-mediated disorders of the central and peripheral nervous system are excluded. More specifically (see also Table 1):
Neurological manifestations occurring during the acute phase of the infection cannot be easily disentangled from those with onset in the post-acute phase;
Existing reports are flawed by selection and reporting bias. Available data reflect the spectrum of neurological manifestations in patients with the more severe forms of COVID-19;
The information on patients who were not hospitalized is almost completely missing;
Neurological symptoms, signs and diagnoses cannot be always differentiated from symptoms and signs that belong to the clinical spectrum of an infectious disease;
Neurological symptoms or diagnoses occurring de novo during follow-up cannot yet be identified or quantified due to the very limited number of reports with prolonged follow-up;
Subclinical findings (e.g. minor cognitive impairment) are still rarely investigated and might require the use of specific diagnostic instruments (eg, neuropsychological tests; imaging studies);
Pathological studies are still insufficient to provide an exhaustive picture of the organ-systems (including the nervous system) involved by the pathologic process.
Table 1.
Study population should be clearly defined in terms of clinical or community-based cohorts, sociodemographic characteristics, comorbidities, linkage to external registries as a data source (e.g., mortality) As diagnostic and therapeutic resources/approaches are varying among and within countries and changes can happen over time, the study timeframe should be specified and linked to relevant information on the pandemic in the country(ies) of origin of the study population |
Outcome neurological measures prevalent and incident neurological disorders (signs, symptoms, syndromes, diseases) should be distinguished. Clinical case definitions should be reported (e.g., diagnostic procedures, laboratory, neuroimaging, and other diagnostics tools used) |
Time of onset of incident neurological disorders, from early signs/symptoms of SARS-CoV-2 infection or confirmed infection, should be specified. This would facilitate the identification of short, medium, and long-term neurological disorders |
Outcome, non-neurological measures relevant measures that can be reported include duration of hospitalization, disability, need for rehabilitation or long-term treatment, institutionalization, and mortality |
Missing information from baseline and follow-up, should be adequately discussed, including considerations on how they could have affected the reported measures of occurrence/associations, as well as in terms of effects on the external validity of the study findings |
Future directions (Box 2)
Based on this Rapid Review, we need a more extensive systematic and updated review of the available evidence to address the above key questions and put more emphasis on the long-term aspect, which is difficult to assess at present due to lack of appropriate studies. Each study will be assessed for quality using the risk of bias measures.
Although the investigation of neurological manifestations associated with COVID-19 in population-based samples with accurate follow-up and limited attrition is difficult to obtain, adequate inception cohorts can be still identified, which should be drawn from the different clinical settings in which a patient is assessed (e.g., outpatient services, emergency rooms, ICU admissions).
Ongoing (neuro)COVID registries [62–64], data banks [65] and surveillance systems [66] with active follow-up (including the upcoming WHO follow-up tool) (https://www.who.int/publications/i/item/global-covid-19-clinical-platform-case-report-form-(crf)-for-post-covid-conditions-(post-covid-19-crf-) can provide useful information for the identification of incident neurological manifestations (types and frequency) in large cohorts of patients enrolled during the acute phase of the disease. In these registries and surveillance modules, the ascertainment of COVID-19 complications during follow-up should be made using accurate measures, valid and reliable diagnostic criteria, and standardised methods for the characterisation of any signs or symptoms. Additional screening instruments (neuropsychological tests, imaging studies) should be used to investigate subclinical events.
Consensus is also needed regarding how to classify manifestations in the post-acute period. A pragmatic approach has been proposed to classifying phenotypes and severity of post-acute COVID-19 syndrome [67].
The potential for presently unknown long-term and delayed-onset emergent neurological complications must also be recognised. Matched controls must be used to distinguish unrelated clinical conditions from those caused directly or indirectly by the virus, or by an associated prophylaxis (vaccines or drugs), treatment, or the broader psychosocial impact of the pandemic. As symptoms perceived by patients and/or physicians might not require immediate neurological consultation, follow-up visits (face-to-face or virtual) should be planned by those in charge of the initial consultation for a period of at least 12 months.
Box 2: Future directions
Studies in well-defined populations or inception cohorts.
Involvement of and comparison between high-income and low-income countries.
Use of standard definitions for target diseases and risk factors.
Use of valid and reliable diagnostic and outcome measures.
Adoption of prospective designs.
Accurate definition of the patients’ profiles at baseline (with inclusion of socio-demographic, psychosocial characteristics, and comorbidities).
Data collection on treatment schedules (including vaccinations).
Screening instruments (neuropsychological tests, imaging studies) to be used in ad-hoc studies.
Comparison with matched unexposed individuals.
Prolonged follow-up with predefined periodic contacts for the investigation of sequelae and new manifestations.
Minimization of drop-outs (time-consuming data collection to be avoided to encourage participation and improve compliance).
Longitudinal assessment of the pandemic to verify whether variants are associated with differing phenotypes and disease severity.
All studies to be performed in compliance with high-quality standards following available guidelines.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
We are indebted to Dr Tarun Dua for having initiated this Rapid Review, and Drs Nicholine Schiess and Kavitha Kolappa for their suggestions and critical appraisal of the structure and content of the manuscript.
Authors contributions
EB conceived the project and wrote the first draft, ASW provided substantial changes to the first and the subsequent drafts, GG performed the literature search, EW helped with the editing and the coordination of text revisions, FM and MK revised the text and prepared Table 3, all the other authors provided substantial content and editorial changes.
Funding
The review has been funded by an educational grant from the WHO.
Availability of data and material (data transparency)
Not applicable.
Code availability (software application or custom code).
Not applicable.
Declarations
Conflicts of interest
Dr. Beghi reports grants from the Italian Ministry of Health, grants from SOBI, personal fees from Arvelle Therapeutics, grants from American ALS Association, outside the submitted work. Dr. Allegri reports grants from Fleni Neurological Institute (Buenos Aires, Argentina), grants from CONICET (National Council of Scientific and Technological Research), Argentina, grants from Washington University, Subcontract NIH (USA), grants from Alzheimer Association (USA), outside the submitted work. Dr. Garcia-Azorin reports grants from International Headache Society, personal fees from the World Health Organization, personal fees from Lilly, personal fees from Teva, personal fees from Novartis, personal fees from Allergan, personal fees from Chiesi, grants from the Spanish Society of Neurology, grants from Fundacion Estudios de Ciencias de la Salud de Castilla y Leòn, grants from Colegio de Medicos de Valladolid, outside the submitted work. Dr. Frontera reports grants from NIH/NINDS and NIH/NIA for COVID-related research. Dr. Winkler and Dr. Westenberg report grants from School of Medicine of the Technical University of Munich, outside the submitted work. Dr. Guekht report a grant from the Russian Scientific Foundation, outside of the submitted work.All the other authors have nothing to declare.
Ethics approval (include appropriate approvals or waivers)
Not applicable.
Consent to participate (include appropriate statements)
Not applicable.
Consent for publication (include appropriate statements)
Not applicable.
Additional declarations for articles in life science journals that report the results of studies involving humans and/or animals
Not applicable.
References
- 1.Mao L, Jin H, Wang M, et al. Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China. JAMA Neurol. 2020;77:683–690. doi: 10.1001/jamaneurol.2020.1127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Chen T, Wu D, Chen H, et al. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ. 2020;368:m1091. doi: 10.1136/bmj.m1091.Erratum.In:BMJ2020;368:m1295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Collantes MEV, Espiritu AI, Sy MCC, et al. Neurological manifestations in COVID-19 infection: a systematic review and meta-analysis. Can J Neurol Sci. 2021;48:66–76. doi: 10.1017/cjn.2020.146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ellul MA, Benjamin L, Singh B, et al. Neurological associations of COVID-19. Lancet Neurol. 2020;19:767–783. doi: 10.1016/S1474-4422(20)30221-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Di Carlo DT, Montemurro N, Petrella G, et al. Exploring the clinical association between neurological symptoms and COVID-19 pandemic outbreak: a systematic review of current literature. J Neurol. 2021;268:1561–1569. doi: 10.1007/s00415-020-09978-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Romoli M, Jelcic I, Bernard-Valnet R, et al. A systematic review of neurological manifestations of SARS-CoV-2 infection: the devil is hidden in the details. Eur J Neurol. 2020;27:1712–1726. doi: 10.1111/ene.14382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Herman C, Mayer K, Sarwal A. Scoping review of prevalence of neurologic comorbidities in patients hospitalized for COVID-19. Neurology. 2020;95:77–84. doi: 10.1212/WNL.0000000000009673. [DOI] [PubMed] [Google Scholar]
- 8.Leonardi M, Padovani A, McArthur JC. Neurological manifestations associated with COVID-19: a review and a call for action. J Neurol. 2020;267(6):1573–1576. doi: 10.1007/s00415-020-09896-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Pezzini A, Padovani A. Lifting the mask on neurological manifestations of COVID-19. Nat Rev Neurol. 2020;16:636–644. doi: 10.1038/s41582-020-0398-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Yong SJ. Persistent brainstem dysfunction in long-COVID: a hypothesis. ACS Chem Neurosci. 2021;12:573–580. doi: 10.1021/acschemneuro.0c00793. [DOI] [PubMed] [Google Scholar]
- 11.Zhou Z, Kang H, Li S, Zhao H. Understanding the neurotropic characteristics of SARS-CoV-2: from neurological manifestations of COVID-19 to potential neurotropic mechanisms. J Neurol. 2020;267:2179–2184. doi: 10.1007/s00415-020-09929-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Zubair AS, McAlpine LS, Gardin T, et al. Neuropathogenesis and neurologic manifestations of the coronaviruses in the age of coronavirus disease 2019: a review. JAMA Neurol. 2020;77(8):1018–1027. doi: 10.1001/jamaneurol.2020.2065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Matschke J, Lütgehetmann M, Hagel C, et al. Neuropathology of patients with COVID-19 in Germany: a post-mortem case series. Lancet Neurol. 2020;19:919–929. doi: 10.1016/S1474-4422(20)30308-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Koppolu V, Shantha Raju T. Zika virus out-break: a review of neurological complications, diagnosis, and treatment options. J Neurovirol. 2018;24:255–272. doi: 10.1007/s13365-018-0614-8. [DOI] [PubMed] [Google Scholar]
- 15.Carod-Artal FJ. Neurological complications of Zika virus infection. Expert Rev Anti Infect Ther. 2018;16:399–410. doi: 10.1080/14787210.2018.1466702. [DOI] [PubMed] [Google Scholar]
- 16.Reddy D. Responding to pandemic (H1N1) 2009 influenza: the role of oseltamivir. J Antimicrob Chemother. 2010;65(Suppl 2):ii35–40. doi: 10.1093/jac/dkq014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chacon R, Mirza S, Rodriguez D, et al. Demographic and clinical characteristics of deaths associated with influenza A(H1N1) pdm09 in Central America and Dominican Republic 2009–2010. BMC Public Health. 2015;15:734. doi: 10.1186/s12889-015-2064-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Coltart CE, Lindsey B, Ghinai I, Johnson AM, Heymann DL. The Ebola outbreak, 2013–2016: old lessons for new epidemics. Philos Trans R Soc Lond B Biol Sci. 2017;372(1721):20160297. doi: 10.1098/rstb.2016.0297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Billioux BJ. Neurological complications and sequelae of Ebola virus disease. Curr Infect Dis Rep. 2017;19:19. doi: 10.1007/s11908-017-0573-x. [DOI] [PubMed] [Google Scholar]
- 20.Wong G, Qiu X, Bi Y, et al. More challenges from Ebola: infection of the central nervous system. J Infect Dis. 2016;214(Suppl 3):S294–296. doi: 10.1093/infdis/jiw257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Baggen J, Thibaut H, Strating J, van Kuppeveld F. The life cycle of non-polio enteroviruses and how to target it. Nat Rev Microbiol. 2018;16:368–381. doi: 10.1038/s41579-018-0005-4. [DOI] [PubMed] [Google Scholar]
- 22.Jones E, Pillay TD, Liu F, et al. Outcomes following severe hand foot and mouth disease: a systematic review and meta-analysis. Eur J Paediatr Neurol. 2018;22:763–773. doi: 10.1016/j.ejpn.2018.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Tsai L, Hsieh S, Chang Y. Neurological manifestations in severe acute respiratory syndrome. Acta Neurol Taiwan. 2005;14:113–119. [PubMed] [Google Scholar]
- 24.Gu J, Gong E, Zhang B, et al. Multiple organ infection and the pathogenesis of SARS. J Exp Med. 2005;202:415–424. doi: 10.1084/jem.20050828. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Saad M, Omrani AS, Baig K, et al. Clinical aspects and outcomes of 70 patients with Middle East respiratory syndrome coronavirus infection: a single-center experience in Saudi Arabia. Int J Infect Dis. 2014;29:301–306. doi: 10.1016/j.ijid.2014.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kim JE, Heo JH, Kim HO, et al. Neurological complications during treatment of Middle East respiratory syndrome. J Clin Neurol. 2017;13:227–233. doi: 10.3988/jcn.2017.13.3.227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Li Y, Li H, Fan R, et al. Coronavirus infections in the central nervous system and respiratory tract show distinct features in hospitalized children. Intervirology. 2016;59:163–169. doi: 10.1159/000453066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Dessau R, Lisby G, Frederiksen J. Coronaviruses in spinal fluid of patients with acute monosymptomatic optic neuritis. Acta Neurol Scand. 1999;100:88–91. doi: 10.1111/j.1600-0404.1999.tb01043.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Salmi A, Ziola B, Hovi T, Reunanen M. Antibodies to coronaviruses OC43 and 229E in multiple sclerosis patients. Neurology. 1982;32:292–295. doi: 10.1212/wnl.32.3.292. [DOI] [PubMed] [Google Scholar]
- 30.Fazzini E, Fleming J, Fahn S. Cerebrospinal fluid antibodies to coronavirus in patients with Parkinson’s disease. Mov Disord. 1992;7:153–158. doi: 10.1002/mds.870070210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Schonberger LB, Bregman DJ, Sullivan-Bolyai JZ, et al. Guillain-Barre syndrome following vaccination in the National Influenza Immunization Program, United States, 1976–1977. Am J Epidemiol. 1979;110:105–123. doi: 10.1093/oxfordjournals.aje.a112795. [DOI] [PubMed] [Google Scholar]
- 32.Galeotti F, Massari M, D’Alessandro R, et al. Risk of Guillain-Barré syndrome after 2010–2011 influenza vaccination. Eur J Epidemiol. 2013;28:433–444. doi: 10.1007/s10654-013-9797-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Shahjouei S, Naderi S, Li J, et al. Risk of stroke in hospitalized SARS-CoV-2 infected patients: a multinational study. EBioMedicine. 2020;59:102939. doi: 10.1016/j.ebiom.2020.102939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Garcez FB, Aliberti MJR, Poco PCE, et al. Delirium and adverse outcomes in hospitalized patients with COVID-19. J Am Geriatr Soc. 2020;68:2440–2446. doi: 10.1111/jgs.16803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Benussi A, Pilotto A, Premi E, et al. Clinical characteristics and outcomes of inpatients with neurologic disease and COVID-19 in Brescia, Lombardy, Italy. Neurology. 2020;95:e910–e920. doi: 10.1212/WNL.0000000000009848. [DOI] [PubMed] [Google Scholar]
- 36.Huang C, Huang L, Wang Y, et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;397(10270):220–232. doi: 10.1016/S0140-6736(20)32656-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Nersesjan V, Amiri M, Lebech AM, et al. Central and peripheral nervous system complications of COVID-19: a prospective tertiary center cohort with 3-month follow-up. J Neurol. 2021 doi: 10.1007/s00415-020-10380-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Liotta EM, Batra A, Clark JR, et al. Frequent neurologic manifestations and encephalopathy-associated morbidity in Covid-19 patients. Ann Clin Transl Neurol. 2020;7:2221–2230. doi: 10.1002/acn3.51210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Salahuddin H, Afreen E, Sheikh IS, et al. Neurological predictors of clinical outcomes in hospitalized patients with COVID-19. Front Neurol. 2020;11:585944. doi: 10.3389/fneur.2020.585944. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Frontera JA, Sabadia S, Lalchan R, et al. A prospective study of neurologic disorders in hospitalized patients with COVID-19 in New York City. Neurology. 2021;96:e575–e586. doi: 10.1212/WNL.0000000000010979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kim SW, Kim SM, Kim YK, et al. Clinical characteristics and outcomes of COVID-19 cohort patients in Daegu Metropolitan City outbreak in 2020. J Korean Med Sci. 2021;36:e12. doi: 10.3346/jkms.2021.36.e12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sousa GJB, Garces TS, Cestari VRF, Florêncio RS, Moreira TMM, Pereira MLD. Mortality and survival of COVID-19. Epidemiol Infect. 2020;148:e123. doi: 10.1017/S0950268820001405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Merkler AE, Parikh NS, Mir S, et al. Risk of ischemic stroke in patients with Coronavirus Disease 2019 (COVID-19) vs patients with influenza. JAMA Neurol. 2020;77:1–7. doi: 10.1001/jamaneurol.2020.2730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Yaghi S, Ishida K, Torres J, et al. SARS-CoV-2 and stroke in a New York healthcare system. Stroke. 2020;51:2002–2011. doi: 10.1161/STROKEAHA.120.030335.Erratum.In:Stroke2020;51(8):e179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Perry RJ, Smith CJ, Roffe C, et al. Characteristics and outcomes of COVID-19 associated stroke: a UK multicentre case-control study. J Neurol Neurosurg Psychiatry. 2021;92:242–248. doi: 10.1136/jnnp-2020-324927. [DOI] [PubMed] [Google Scholar]
- 46.Katz JM, Libman RB, Wang JJ, et al. Cerebrovascular complications of COVID-19. Stroke. 2020;51:e227–e231. doi: 10.1161/STROKEAHA.120.031265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ntaios G, Michel P, Georgiopoulos G, et al. Characteristics and outcomes in patients with COVID-19 and acute ischemic stroke: the Global COVID-19 Stroke Registry. Stroke. 2020;51:e254–e258. doi: 10.1161/STROKEAHA.120.031208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Mathew T, John SK, Sarma G, et al. COVID-19-related strokes are associated with increased mortality and morbidity: a multicenter comparative study from Bengaluru, South India. Int J Stroke. 2021;16:429–436. doi: 10.1177/1747493020968236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Mendes A, Herrmann FR, Genton L, et al. Incidence, characteristics and clinical relevance of acute stroke in old patients hospitalized with COVID-19. BMC Geriatr. 2021;21:52. doi: 10.1186/s12877-021-02006-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.de Havenon A, Ney JP, Callaghan B, et al. Impact of COVID-19 on outcomes in ischemic stroke patients in the United States. J Stroke Cerebrovasc Dis. 2021;30:105535. doi: 10.1016/j.jstrokecerebrovasdis.2020.105535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Mcloughlin BC, Miles A, Webb TE, et al. Functional and cognitive outcomes after COVID-19 delirium. Eur Geriatr Med. 2020;11:857–862. doi: 10.1007/s41999-020-00353-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Kennedy M, Helfand BKI, Gou RY, et al. Delirium in older patients with COVID-19 presenting to the emergency department. JAMA Netw Open. 2020;3:e2029540. doi: 10.1001/jamanetworkopen.2020.29540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Zhang J, Wang X, Jia X, et al. Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, China. Clin Microbiol Infect. 2020;26:767–772. doi: 10.1016/j.cmi.2020.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Oates CP, Turagam MK, Musikantow D, et al. Syncope and presyncope in patients with COVID-19. Pacing Clin Electrophysiol. 2020;43:1139–1148. doi: 10.1111/pace.14047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Talavera B, García-Azorín D, Martínez-Pías E, et al. Anosmia is associated with lower in-hospital mortality in COVID-19. J Neurol Sci. 2020;419:117163. doi: 10.1016/j.jns.2020.117163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Piroth L, Cottenet J, Mariet AS, et al. Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: a nationwide, population-based retrospective cohort study. Lancet Respir Med. 2021;9:251–259. doi: 10.1016/S2213-2600(20)30527-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Nersesjan V, Amiri M, Christensen HK, Benros ME, Kondziella D. Thirty-day mortality and morbidity in COVID-19 positive vs. COVID-19 negative individuals and vs. individuals tested for Influenza A/B: a population-based study. Front Med (Lausanne) 2020;7:598272. doi: 10.3389/fmed.2020.598272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Keddie S, Pakpoor J, Mousele C, et al. Epidemiological and cohort study finds no association between COVID-19 and Guillain-Barré syndrome. Brain. 2021;144:682–693. doi: 10.1093/brain/awaa433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Beghi E, Michael BD, Solomon T, Westenberg E, Winkler AS, on behalf of the COVID-19 Neuro Research Coalition Approaches to understanding COVID-19 and its neurological associations. Ann Neurol. 2021;89:1059–1067. doi: 10.1002/ana.26076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Nasserie T, Hittle M, Goodman SN. Assessment of the frequency and variety of persistent symptoms among patients with COVID-19: a systematic review. JAMA Netw Open. 2021;4:e2111417. doi: 10.1001/jamanetworkopen.2021.11417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Salamanna F, Veronesi F, Martini L, Landini MP, Fini M. Post-COVID-19 syndrome: the persistent symptoms at the post-viral stage of the disease. A systematic review of the current data. Front Med (Lausanne) 2021;8:3516. doi: 10.3389/fmed.2021.653516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Beghi E, Helbok R, Crean M, Chou SH, McNett M, Moro E, Bassetti C, EAN Neuro-COVID Task Force The European Academy of Neurology COVID-19 registry (ENERGY): an international instrument for surveillance of neurological complications in patients with COVID-19. Eur J Neurol. 2020 doi: 10.1111/ene.14652. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Frontera J, Mainali S, Fink EL, et al. Global consortium study of neurological dysfunction in COVID-19 (GCS-NeuroCOVID): study design and rationale. Neurocrit Care. 2020;33:25–34. doi: 10.1007/s12028-020-00995-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.García-Azorín D, Abenza Abildua MJ, Erro Aguirre ME, et al. Neurological presentations of COVID-19: findings from the Spanish Society of Neurology NeuroCOVID-19 registry. J Neurol Sci. 2021;423:117283. doi: 10.1016/j.jns.2020.117283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Troxel AB, Frontera JA, Mendoza-Puccini C. The National Institutes of Health COVID-19 NeuroDatabank and NeuroBiobank: a national resource for learning, discovery, and progress. Front Neurol. 2021;11:1865. doi: 10.3389/fneur.2020.615061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Winkler AS, Knauss S, Schmutzhard E, et al. A call for a global COVID-19 neuro research coalition. Lancet Neurol. 2020;19:482–484. doi: 10.1016/S1474-4422(20)30150-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Amenta EM, Spallone A, Rodriguez-Barradas MC, El Sahly HM, Atmar RL, Kulkarni PA. Postacute COVID-19: an overview and approach to classification. Open Forum Infect Dis. 2020;7:ofaa509. doi: 10.1093/ofid/ofaa509. [DOI] [PMC free article] [PubMed] [Google Scholar]
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